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A Study on Neural Networks and Fuzzy Inference Systems for Transient Data

  • Fevzullah Temurtas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3192)

Abstract

In this study, a Neural Network (NN) structure with tapped time delays and Mamdani’s fuzzy inference system (FIS) are used for the concentration estimation of the Acetone and Chloroform gases inside the sensor response time by using the transient sensor response. The Coated Quartz Crystal Microbalance (QCM) type sensor is used as gas sensors. The estimation results of Mamdani’s FIS are very closer to estimation results of ANN for the transient sensor response. Acceptable good performances are obtained for both systems and the appropriateness of the NN and FIS for the gas concentration determination inside the sensor response time is observed.

Keywords

Frequency Shift Fuzzy Inference System Quartz Crystal Microbalance Steady State Response Concentration Estimation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Fevzullah Temurtas
    • 1
  1. 1.Department of Computer EngineeringSakarya UniversityAdapazariTurkey

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